Mark Hoemmen

According to our database, Mark Hoemmen authored at least 28 papers between 2008 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2020

Low-synchronization orthogonalization schemes for <i>s</i>-step and pipelined Krylov solvers in Trilinos.

Ichitaro Yamazaki, Stephen J. Thomas, Mark Hoemmen, Erik G. Boman, Katarzyna Swirydowicz, James J. Elliott

Proceedings of the 2020 SIAM Conference on Parallel Processing for Scientific Computing, 2020

2019

mdspan in C++: A Case Study in the Integration of Performance Portable Features into International Language Standards.

David S. Hollman, Bryce Lelbach, H. Carter Edwards, Mark Hoemmen, Daniel Sunderland, Christian R. Trott

Proceedings of the 2019 IEEE/ACM International Workshop on Performance, 2019

2017

Embedded Ensemble Propagation for Improving Performance, Portability, and Scalability of Uncertainty Quantification on Emerging Computational Architectures.

Eric T. Phipps, Marta D'Elia, H. Carter Edwards, Mark Hoemmen, Jonathan J. Hu, Sivasankaran Rajamanickam

SIAM J. Sci. Comput., 2017

Exploring versioned distributed arrays for resilience in scientific applications.

Andrew A. Chien, Pavan Balaji, Nan Dun, Aiman Fang, Hajime Fujita, Kamil Iskra, Zachary A. Rubenstein, Ziming Zheng, Jeff R. Hammond, Ignacio Laguna, D. Richards, Anshu Dubey, Brian van Straalen, Mark Hoemmen, Michael A. Heroux, Keita Teranishi, Andrew R. Siegel

Int. J. High Perform. Comput. Appl., 2017

Improving Performance of GMRES by Reducing Communication and Pipelining Global Collectives.

Ichitaro Yamazaki, Mark Hoemmen, Piotr Luszczek, Jack J. Dongarra

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

2016

Exploiting data representation for fault tolerance.

James Elliott, Mark Hoemmen, Frank Mueller

J. Comput. Sci., 2016

Optimization of Block Sparse Matrix-Vector Multiplication on Shared-Memory Parallel Architectures.

Ryan Eberhardt, Mark Hoemmen

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

2015

Optimal adiabatic scaling and the processor-in-memory-and-storage architecture (OAS+PIMS).

Erik P. DeBenedictis, Jeanine E. Cook, Mark Hoemmen, Tzevetan S. Metodi

Proceedings of the 2015 IEEE/ACM International Symposium on Nanoscale Architectures, 2015

Versioned Distributed Arrays for Resilience in Scientific Applications: Global View Resilience.

Andrew A. Chien, Pavan Balaji, Peter H. Beckman, Nan Dun, Aiman Fang, Hajime Fujita, Kamil Iskra, Zachary A. Rubenstein, Ziming Zheng, Rob Schreiber, Jeff R. Hammond, James Dinan, Ignacio Laguna, D. Richards, Anshu Dubey, Brian van Straalen, Mark Hoemmen, Michael A. Heroux, Keita Teranishi, Andrew R. Siegel

Proceedings of the International Conference on Computational Science, 2015

A Numerical Soft Fault Model for Iterative Linear Solvers.

James Elliott, Mark Hoemmen, Frank Mueller

Proceedings of the 24th International Symposium on High-Performance Parallel and Distributed Computing, 2015

2014

Towards Extreme-Scale Simulations for Low Mach Fluids with Second-Generation Trilinos.

Paul T. Lin, Matthew T. Bettencourt, Stefan Domino, Travis Fisher, Mark Hoemmen, Jonathan J. Hu, Eric T. Phipps, Andrey Prokopenko, Sivasankaran Rajamanickam, Christopher M. Siefert, Stephen Kennon

Parallel Process. Lett., 2014

Tolerating Silent Data Corruption in Opaque Preconditioners.

James Elliott, Mark Hoemmen, Frank Mueller

CoRR, 2014

Resilience in Numerical Methods: A Position on Fault Models and Methodologies.

James Elliott, Mark Hoemmen, Frank Mueller

CoRR, 2014

Communication lower bounds and optimal algorithms for numerical linear algebra.

Grey Ballard, Erin C. Carson, James Demmel, Mark Hoemmen, Nicholas Knight, Oded Schwartz

Acta Numer., 2014

Domain Decomposition Preconditioners for Communication-Avoiding Krylov Methods on a Hybrid CPU/GPU Cluster.

Ichitaro Yamazaki, Sivasankaran Rajamanickam, Erik G. Boman, Mark Hoemmen, Michael A. Heroux, Stanimire Tomov

Proceedings of the International Conference for High Performance Computing, 2014

Improving the Performance of CA-GMRES on Multicores with Multiple GPUs.

Ichitaro Yamazaki, Hartwig Anzt, Stanimire Tomov, Mark Hoemmen, Jack J. Dongarra

Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014

Towards Extreme-Scale Simulations with Next-Generation Trilinos: A Low Mach Fluid Application Case Study.

Paul T. Lin, Matthew T. Bettencourt, Stefan Domino, Travis Fisher, Mark Hoemmen, Jonathan J. Hu, Eric T. Phipps, Andrey Prokopenko, Sivasankaran Rajamanickam, Christopher M. Siefert, Eric C. Cyr, Stephen Kennon

Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014

Evaluating the Impact of SDC on the GMRES Iterative Solver.

James Elliott, Mark Hoemmen, Frank Mueller

Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014

2012

Amesos2 and Belos: Direct and iterative solvers for large sparse linear systems.

Eric Bavier, Mark Hoemmen, Sivasankaran Rajamanickam, Heidi Thornquist

Sci. Program., 2012

Communication-optimal Parallel and Sequential QR and LU Factorizations.

James Demmel, Laura Grigori, Mark Hoemmen, Julien Langou

SIAM J. Sci. Comput., 2012

Fault-tolerant linear solvers via selective reliability

Patrick G. Bridges, Kurt B. Ferreira, Michael A. Heroux, Mark Hoemmen

CoRR, 2012

2011

A Communication-Avoiding, Hybrid-Parallel, Rank-Revealing Orthogonalization Method.

Mark Hoemmen

Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011

Cooperative Application/OS DRAM Fault Recovery.

Patrick G. Bridges, Mark Hoemmen, Kurt B. Ferreira, Michael A. Heroux, Philip Soltero, Ron Brightwell

Proceedings of the Euro-Par 2011: Parallel Processing Workshops - CCPI, CGWS, HeteroPar, HiBB, HPCVirt, HPPC, HPSS, MDGS, ProPer, Resilience, UCHPC, VHPC, Bordeaux, France, August 29, 2011

2010

Communication-avoiding Krylov subspace methods.

Mark Hoemmen

PhD thesis, 2010

2009

Nonnegative Diagonals and High Performance on Low-Profile Matrices from Householder QR.

James Demmel, Mark Hoemmen, Yozo Hida, E. Jason Riedy

SIAM J. Sci. Comput., 2009

Minimizing communication in sparse matrix solvers.

Marghoob Mohiyuddin, Mark Hoemmen, James Demmel, Katherine A. Yelick

Proceedings of the ACM/IEEE Conference on High Performance Computing, 2009

2008

Communication-avoiding parallel and sequential QR factorizations

James Demmel, Laura Grigori, Mark Hoemmen, Julien Langou

CoRR, 2008

Avoiding communication in sparse matrix computations.

James Demmel, Mark Hoemmen, Marghoob Mohiyuddin, Katherine A. Yelick

Proceedings of the 22nd IEEE International Symposium on Parallel and Distributed Processing, 2008